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Novel 3D Post-Processing for 1H Magnetic Resonance Spectroscopy: Fast and Accurate Metabolite Ratios

Author:Dale Mugler  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Software Tools  

Program Number:2409  

Room Session:Exhibition Halls D/E  

Institution :Medical University of South Carolina  

GPU-accelerated JEMRIS for extensive MRI simulations.

The value of whole volume radiomics machine learning model based on multi-parameter MRI in predicting triple negative breast cancer

MRI biomarkers of neurofluid production and egress provide support for aberrations in the neurofluid circuit in Huntingtons disease

Associated high-order resting-state functional connectivity network for diagnosis of schizophrenia

Volumetric analysis of Brain Regions: A cross-sectional study on a large healthy dataset

Implementation of a convolutional neural network for brainstem landmark detection and co-registration

DECOMPOSE-QSM improves the tracking of iron-related neurodegenerative pathology

Exposure to Welding Fumes: Evaluating the metabolite-metal relationship

Longitudinal Modeling of Stroke using Stochastic Distances and NODDI Diffusion Model

Author:Anuja Sharma  Edward DiBella  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Quantitative Imaging, AI & Miscellaneous  

Program Number:2420  

Room Session:Exhibition Halls D/E  

Institution :University of Utah  

Comparison of Single-Slice Liver R2* Estimation with FerriSmart for Assessment of Hepatic Iron overload

Magnetic resonance imaging radiomics to differentiate ovarian sex cord-stromal tumors and primary epithelial ovarian cancers

Evaluation of renal function in chronic kidney disease using histogram analysis based on diffusion multi-models

Radiomics Applied to Phase Contrast MRI Images Successfully Distinguishes Healthy Subjects and Multiple Sclerosis Patients

Artificial Neural Network for Intravoxel Incoherent Motion Fitting: an Application in Glioma

Automatic Quantification of Total Cerebral Blood Flow from Phase-Contrast MRI Using Deep Learning

Adverse effect of non-linearity in gradient on MRI and their impact on localization and morphology of testing sample

Author:Rajesh Harsh  URVASHI SINGH  Dharmesh Verma  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Quantitative Imaging, AI & Miscellaneous  

Program Number:2430  

Room Session:Exhibition Halls D/E  

Institution :S.A.M.E.E.R. Mumbai  

Identifying the Microvascular Invasion of Hepatocellular Carcinoma with a Continuous Time Random-Walk Diffusion Model

Gadoxetic acidenhanced MRI-based assessment of imaging features in patients with CK19-positive small hepatocellular carcinoma (≤3 cm)

Magnetic Resonance Imaging of the Liver Microenvironment to Assess Hepatocellular Carcinoma Growth and Characteristics in Rat

Preoperative gadoxetic acid-enhanced MRI combined with MVI can effectively predicte early recurrence in hepatocellular carcinoma

Differentiating Benign from Malignant Liver Lesions Using Non-Gaussian Models of Diffusion Weighted MRI

Liver lesion detection : Comparison of different flip angle and delay time

Prediction for aggressiveness and recurrence of hepatocellular carcinoma using gadoxetic acid-enhanced magnetic resonance imaging

The value of diffusion kurtosis imaging for predicting two-year early recurrence (ER) of hepatocellular carcinoma after curative resection

Values of stretched exponential model and fractional order calculus model in predicting microvascular invasion in hepatocellular carcinoma

Free-Breathing, Gadoxetic Acid Enhanced, 3D T1w Phase Sensitive Inversion Recovery Hepatobiliary MRI Optimized for 3.0 Tesla

Author:Yavuz Muslu  Ty Cashen  Sagar Mandava  Diego Hernando  Scott Reeder  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Updates in Oncologic Liver Imaging II  

Program Number:2440  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  University of Wisconsin-Madison  

Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC

Active Breathing Guidance for T2-weighted liver MRI sequences: a novel in-bore solution for image quality and efficiency improvement

On Intra-Voxel Dephasing in Liver Diffusion-Weighted Imaging

Deep learningaccelerated HASTE for single breath-hold liver T2-weighted imaging

Feasibility of Routine Abdominal MR Imaging in Patients at 0.55T: Comparison with 1.5 and 3T

High-resolution hepatocyte-specific phase MRI of the liver using golden-angle radial sparse parallel imaging

Lower abdominal adipose result in higher postoperative early recurrence in HCC patients with HBV

Author:Dexin Yu  Liping Zuo  Yueming An  Jinlei Fan  Bowen Wang  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Updates in Oncologic Liver Imaging II  

Program Number:2447  

Room Session:Exhibition Halls D/E  

Institution :Qilu Hospital of Shandong University  

Multi-shot Abdomen Diffusion Imaging using external navigators with volume coil

De-streaking effect Deep Learning Reconstruction in free-breathing dynamic contrast enhanced Liver MRI

Cow Colostrum Regresses STAM-induced Non-alcoholic Steatohepatitis-associated Hepatocellular Carcinoma in Mice

Intra- and Inter-vendor Reproducibility of T1 Measurements in the Healthy Human Knee Joint

Associations between Weight Change, Knee Subcutaneous Fat and Cartilage Thickness: 4-Year Data from the OAI

Preserved patellar cartilage at the expense of anterior femoral cartilage damage in Hip Osteoarthritis: An Inter-Limb Inter-Joint qMRI analysis

T1rho Sequences with FASE, UTE, and MAPSS Acquisitions for Knee Evaluation

Deep-Learning-Based Knee Articular Cartilage Morphometrics

Author:Yongcheng Yao  Weitian Chen  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Knee Imaging in Osteoarthritis  

Program Number:2457  

Room Session:Exhibition Halls D/E  

Institution :The Chinese University of Hong Kong  

Meniscus UTE-T2* Measured Prior to Anterior Cruciate Ligament Reconstruction Predicts Radiographic Osteoarthritis 11 Years Later